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. 2018 May 3;122(1):53–68. doi: 10.1038/s41437-018-0077-y

Table 2.

Statistics for the approximate Bayesian computation (ABC) analysis of the historical demography of the southern right whale

A. Prior Scenario 4 Scenario 5 Scenario 6
Migration rate since secondary contact (MC)
MC SA to IP 0.001–0.50 0.0281 (0.0087, 0.2068) 0.0114 (0.0023, 0.4259)
MC IP to SA 0.001–0.50 0.0008 (0.0002, 0.0825) 0.0128 (0.0015, 0.4349)
Migration rate since whaling era (MW)
MW SA to IP 0.001–0.50 0.0164 (0.0034, 0.0717) 0.0025 (0.0002, 0.0830)
MW IP to SA 0.001–0.50 0.0235 (0.0052, 0.2091) 0.0025 (0.0013, 0.0718)
Effective population sizes (Ne)
HIST Ne SA 1000–100,000 3874 (1057, 80, 909) 3,916 (1131, 85,781) 3188 (920, 65,783)
HIST Ne IP 1000–100,000 4635 (1275, 92,942) 3,880 (1131, 82,748) 3908 (973, 88,744)
BOT Ne SA 20–2000 128 (34, 2447) 90 (23, 2216) 74 (21, 1430)
BOT Ne IP 20–2000 88 (22, 1936) 88 (23, 1743) 111 (29, 1998)
REC Ne SA 1000–20,000 1358 (466, 9433) 888 (344, 8126) 2494 (706, 15,728)
REC Ne IP 100–20,000 4447 (1179, 24,463) 2008 (814, 10,436) 2013 (660, 12,851)
Timing (generations)
CONTACT 10–100,000 Fixed 38 (12, 962) 74 (20, 2187)
DIVERGENCE 2000–200,000 189,621 (122,048, 200,959) 194,697 (103,040, 209,241) 198,944 (109,871, 211,017)
B. Scenario 4 Scenario 5 Scenario 6
Posterior model probability 0.0048 0.5614 0.4338
Bayes factor 117.14 1.00 1.29
Posterior predictive checks 6/9 7/9 7/9

A. Prior log-uniform distributions used for ABC analysis and posterior values obtained for the South Atlantic (SA) and Indo-Pacific (IP) ocean basins under Scenarios 4–6. Posterior mode and 95% HPDs are reported for migration rates (MC: constant migration rate since secondary contact; MW: migration rate since whaling era), effective population sizes (Ne) and time in generations since secondary contact (CONTACT) and population divergence (DIVERGENCE). Effective population sizes are shown schematically in Fig. 2 and are divided into historical or pre-whaling (HIST Ne), bottleneck (BOT Ne) and recovery (REC Ne). B. Posterior support, as shown by the posterior model probability, Bayes factor (relative to Scenario 5), and the number of posterior predictive summary statistics that encompassed the observed value